27 citations · 93 across the 7 of their papers we have counts for
7 papers
Cycle-Consistent and Uncertainty-Aware Neural Surrogates for Tokamak Edge Plasmas
Abdourahmane Diaw, Sebastian De Pascuale, Jae-Sun Park +3
The boundary and divertor plasma govern how a tokamak exhausts power and particles, setting heat fluxes, target conditions, and the onset of detachment. Predicting these quantities…
Predictive Scale-Bridging Simulations through Active Learning
Satish Karra, Mohamed Mehana, Nicholas Lubbers +12
Throughout computational science, there is a growing need to utilize the continual improvements in raw computational horsepower to achieve greater physical fidelity through scale-b…
Efficient Learning of Accurate Surrogates for Simulations of Complex Systems
A. Diaw, M. McKerns, I. Sagert +2
Machine learning methods are increasingly used to build computationally inexpensive surrogates for complex physical models. The predictive capability of these surrogates suffers wh…
Impact of Electron Transport Models on Capillary Discharge Plasmas
A. Diaw, S. J. Coleman, N. M. Cook +3
Magnetohydrodynamics (MHD) can be used to model capillary discharge waveguides in laser-wakefield accelerators. However, the predictive capability of MHD can suffer due to poor mic…
Designing Radiation Transport Tests: Simulation-Driven Uncertainty-Quantification of the COAX Temperature Diagnostic
Chris L. Fryer, Abdourahmane Diaw, Chris J. Fontes +6
One of the difficulties in developing accurate numerical models of radiation flow in a coupled radiation-hydrodynamics setting is accurately modeling the transmission across a boun…
Ion friction at small values of the Coulomb logarithm
Tucker Sprenkle, Adam Dodson, Quinton McKnight +4
Transport properties of high-energy-density plasmas are influenced by the ion collision rate. Traditionally, this rate involves the Coulomb logarithm, . Typical values of $\l…